Searched refs:is_dataset (Results 1 – 3 of 3) sorted by relevance
| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_arrays_v1.py | 134 is_dataset = isinstance(inputs,
139 if is_dataset:
153 use_steps = is_dataset or steps_per_epoch is not None
170 if not is_dataset:
213 _print_train_info(num_samples_or_steps, val_samples_or_steps, is_dataset)
296 if is_dataset:
468 def _print_train_info(num_samples_or_steps, val_samples_or_steps, is_dataset): argument
469 increment = 'steps' if is_dataset else 'samples'
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| D | training_generator_v1.py | 131 is_dataset = isinstance(data, (dataset_ops.DatasetV2, dataset_ops.DatasetV1))
132 if is_dataset:
149 _validate_arguments(is_sequence, is_dataset, use_multiprocessing, workers,
158 if not is_dataset:
221 if is_dataset:
368 def _validate_arguments(is_sequence, is_dataset, use_multiprocessing, workers, argument
408 if steps_per_epoch is None and not is_dataset:
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| D | training_v1.py | 2284 is_dataset = True
2294 is_dataset = True
2296 is_dataset = False
2332 not is_dataset and any(_is_symbolic_tensor(v) for v in all_inputs)):
2339 is_dataset=is_dataset,
2344 is_dataset, class_weight=None, batch_size=None): argument
2455 if self.stateful and batch_size and not is_dataset:
2554 is_dataset = isinstance(orig_inputs, (dataset_ops.DatasetV1,
2557 if is_dataset or context.executing_eagerly():
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